With new technologies revolutionizing data collection, wildlife researchers are becoming increasingly able to collect data at much higher volumes than ever before. Now we are facing the challenges of putting this information to use, bringing the science of big data into the conservation arena. With the help of machine learning tools, this area holds immense potential for conservation practices. The applications range from online trafficking alerts to species-specific early warning systems to efficient movement and biodiversity monitoring and beyond.
However, the process of building effective machine learning tools depends upon large amounts of standardized training data, and conservationists currently lack an established system for standardization. How to best develop such a system and incentivize data sharing are questions at the forefront of this work. There are currently multiple AI-based conservation initiatives, including Wildlife Insights and WildBook, that are pioneering applications on this front.
This group is the perfect place to ask all your AI-related questions, no matter your skill level or previous familiarity! You'll find resources, meet other members with similar questions and experts who can answer them, and engage in exciting collaborative opportunities together.
Just getting started with AI in conservation? Check out our introduction tutorial, How Do I Train My First Machine Learning Model? with Daniel Situnayake, and our Virtual Meetup on Big Data. If you're coming from the more technical side of AI/ML, Sara Beery runs an AI for Conservation slack channel that might be of interest. Message her for an invite.
Header Image: Dr Claire Burke / @CBurkeSci
Explore the Basics: AI
Understanding the possibilities for incorporating new technology into your work can feel overwhelming. With so many tools available, so many resources to keep up with, and so many innovative projects happening around the world and in our community, it's easy to lose sight of how and why these new technologies matter, and how they can be practically applied to your projects.
Machine learning has huge potential in conservation tech, and its applications are growing every day! But the tradeoff of that potential is a big learning curve - or so it seems to those starting out with this powerful tool!
To help you explore the potential of AI (and prepare for some of our upcoming AI-themed events!), we've compiled simple, key resources, conversations, and videos to highlight the possibilities:
Three Resources for Beginners:
- Everything I know about Machine Learning and Camera Traps, Dan Morris | Resource library, camera traps, machine learning
- Using Computer Vision to Protect Endangered Species, Kasim Rafiq | Machine learning, data analysis, big cats
- Resource: WildID | WildID
Three Forum Threads for Beginners:
- I made an open-source tool to help you sort camera trap images | Petar Gyurov, Camera Traps
- Batch / Automated Cloud Processing | Chris Nicolas, Acoustic Monitoring
- Looking for help with camera trapping for Jaguars: Software for species ID and database building | Carmina Gutierrez, AI for Conservation
Three Tutorials for Beginners:
- How do I get started using machine learning for my camera traps? | Sara Beery, Tech Tutors
- How do I train my first machine learning model? | Daniel Situnayake, Tech Tutors
- Big Data in Conservation | Dave Thau, Dan Morris, Sarah Davidson, Virtual Meetups
Want to know more about AI, or have your specific machine learning questions answered by experts in the WILDLABS community? Make sure you join the conversation in our AI for Conservation group!
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- @Namitha
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Physics PhD candidate enthusiastic about conservation and ecology
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Founder & CEO of we.are.tohorā, creating a community that cares about whales, the environment and each other.
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- @Bijin
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I am a high-school student who enjoys wildlife photography and the intersection between technology and conservation.
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- @Dragonoeede
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Systems Engineer at Edge Impulse, experiencce with hands-on edge machine learning for wildlife conservation
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- @rosco
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Ross is a specialist in the capture and analysis of remotely sensed data for conservation.
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- @Sarvagya
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- @Fatuma
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I aim to transition my career towards conservation technology after gaining two years of experience in the tech industry.
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- @Gathoni
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PhD Candidate at Nottingham Trent University, UK. Ecologist with a passion for wildlife conservation and conservation technology with foundational training in BSc and MSc Rangeland Management (Ecology option). Current project: Use of acoustics to monitor ecosystem restoration.
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- @leonardoscarpa
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I'm Leonardo, I'm a biologist, and I'm passionate about movement ecology. Another of my hobbies is GIS. I have a master's degree in this topic, which I complement with the use of technology such as drones, camera traps and acoustic receivers
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SEE Shell is an innovative phone app that uses machine learning to identify products made from the shell of the critically endangered hawksbill sea turtle.
14 December 2023
Outstanding chance for a motivated and ambitious individual to enhance their current project support skills by engaging with a diverse array of exciting projects in the field of biodiversity science.
11 December 2023
The Wildlife Society features a new paper where TrailGuard cameras have been used with tigers
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Two-year postdoc in AI and remote sensing for citizen-science pollinator monitoring, at Aarhus University. The successful candidate will integrate our computational entomologist team to develop and deploy novel methods...
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Join the Rainforest Connection & Arbimon team to develop software for biodiversity monitoring!
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Yale University & Map of Life Rapid Assessments - XPRIZE
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Yale University & Map of Life Rapid Assessments - XPRIZE
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Join the NightLife team where you'll blend entomology expertise with technological innovation using automated insect monitoring.
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Description | Activity | Replies | Groups | Updated |
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Thank you @carlybatist , @Freaklabs and @MK . The inputs are very useful and I am progressing on my project based on that. Appreciate a lot. |
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Acoustics, AI for Conservation | 1 year 11 months ago | |
Some folks doing work in this space - Wildlife Drones, Conservation Drones, UAV Wild, AfricanDrones, Oceans Unmanned, Geonadir. |
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Drones, AI for Conservation, Citizen Science, eDNA & Genomics, Emerging Tech | 1 year 11 months ago | |
Dear Community,Together with Hackster.io, Seeed Studio is very happy to jointly organize “IoT Into the Wild Contest for Sustainable Plant... |
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AI for Conservation, Connectivity, Emerging Tech, Open Source Solutions, Sensors | 1 year 11 months ago | |
Thanks Carly. No special areas of interest for now although that will happen over time. Thanks so much for your reply. I will check the Conservation Tech directory out. Soumya |
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AI for Conservation | 1 year 11 months ago | |
Fascinating article, combining machine learning and acoustical signals to correlate coral reef health.https://www.sciencedirect.com/science... |
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Acoustics, AI for Conservation, Marine Conservation | 2 years ago | |
We've now wrapped our first run of AI for Conservation Office Hours and you can read my review of how it went and lessons learned here. Given the ... |
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AI for Conservation | 2 years 5 months ago | |
Hi everyone! We are spreading the word about a free, open-source tool called Zamba that automatically detects and... |
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AI for Conservation | 2 years 6 months ago | |
Hi Wildlabbers, This week's Tech Tutor Jamie MacAulay is talking about how to use and analyze large acoustic data using... |
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Acoustics, AI for Conservation, Marine Conservation | 2 years 7 months ago | |
Hi Wildlabbers, We're getting ready for tomorrow's episode with Tech Tutor Lily Xu, who'll talk to us about how machine... |
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AI for Conservation, Protected Area Management Tools, Wildlife Crime | 2 years 9 months ago | |
Looks good, but what is the added value compared to other examples as Obsidentify and Plantnet? |
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AI for Conservation | 2 years 9 months ago | |
https://www.dryad.netJob description"Dryad is an environmental IoT startup based in Berlin-Brandenburg. Our mission is to develop a large-... |
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AI for Conservation | 2 years 9 months ago | |
Deep Learning Engineer at Pachama - https://jobs.lever.co/pachama/81716dd9-8019-4916-add2-fcfaae426331 Embedded Software Engineer... |
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AI for Conservation | 2 years 9 months ago |
AI/ML Engineer Job at Dryad
26 August 2021 2:45pm
Widening the Bottleneck: Can Citizen Science Accelerate Conservation?
19 August 2021 12:00am
Open positions in ML & conservation/climate sci
18 August 2021 2:22pm
Geo for Good Lightning Talks: Nature Conservation
17 August 2021 12:00am
Building Sustainable Support with Edge Impulse
13 August 2021 12:00am
Accessible Tech and Real Impact with the WILDLABS Fellowship: On the Edge
9 August 2021 12:00am
WILDLABS Community Call: August 12th
4 August 2021 12:00am
Tech Tutors: How do I get started with Wildlife Insights?
29 July 2021 12:04am
Wildlife Insights Launches
27 July 2021 12:00am
Tech Tutors: How do I get started with Megadetector?
22 July 2021 3:34pm
Opportunity: Lead an ML Workshop
21 July 2021 12:00am
How do I get started with Wildlife Insights?
19 July 2021 12:00am
How do I get started with Megadetector?
7 July 2021 12:00am
How do I choose the right camera trap(s) based on interests, goals, and species?
6 July 2021 12:00am
WILDLABS Tech Tutors: Season 3
6 July 2021 12:00am
BearID Featured: Artificial Intelligence & Other New Technology In Bear Research
1 July 2021 12:00am
PhDs (or MSc) in tech + nature conservation ?
28 April 2021 9:16am
26 May 2021 9:14pm
carlybatist, I can help with python. Is there anything you or people in your network may need help?
About ML - can you tell 3 main challenges you'd think as priority in conservation, that ML can be helpful ? Also, anything that also small NGOs may struggle to work on, due to limited budget / IT capacity, and so they may benefit from freelancers ? Large NGOs or international agencies will likely work with established companies. I'ìd like to know if there could be a niche were I can interact directly with NGOs and philantropic institutions, both for supporting with services, as well for listening to feedback to project proposals that could benefit from mutual collaborations (e.g. tech pilot + fundraising = startup and product iterations with lower costs).
Also, can you mention a few activities / roles that may offer both outdoor + analytics / tech skills ?
Piorirty is outdoor for me. But since I have a few tech skills and management skills, im trying to trade them!
26 May 2021 10:04pm
You should join the Key Conservation app, which connects people and NGO's for specific needs, whether funding, time, or skills (programming included). Organizations can list particular things they need and you can get day-to-day updates on progress.
In terms of how ML is used in conservation, it's mostly to process the large datasets yielded by conservation tech (camera traps, passive acoustics, biologging, remote sensing/GIS). Annotating detections (which pictures have animals, which species a call belongs to, where deforestation is happening through satellite imagery, etc.).
And lots of freelancing opportunities come up in Wildlabs - the community threads and the biweekly digest. Twitter is also great for finding those kinds of opportunities, search by relevant keywords or hashtags (e.g., #tech4wildlife). I would also start following conservation tech organizations on LinkedIn and Twitter or subscribing to their newsletters or listservs so you don't miss opportunities as they come up.
New Papers: Methods in Ecology and Evolution
23 April 2021 12:00am
New Papers: Remote Sensing in Ecology and Conservation
22 April 2021 12:00am
BirdCLEF 2021 Kaggle Challenge
19 April 2021 12:00am
Looking for animal emotions data for ML
17 March 2021 12:43pm
26 March 2021 4:06pm
There is a TON of research on ML algorithms for all this!
For facial rec-
BearID project - http://bearresearch.org/ (individual facial rec for grizzlies)
AnimalFACS (facial action coding system) - http://www.chimpfacs.com/ (the model started with chimps but they now have versions for orangutans, gibbons, macaques, dogs, cats, and horses)
A lot of the gesture/facial expression literature is focused on primates, particularly apes, so if you do a Google Scholar search on that, you'll loads of papers that have looked into this as well.
For vocals -
Carlson, N. V., Kelly, E. M., & Couzin, I. (2020). Individual vocal recognition across taxa: a review of the literature and a look into the future. Philosophical Transactions of the Royal Society B, 375(1802), 20190479.
Turesson, H. K., Ribeiro, S., Pereira, D. R., Papa, J. P., & de Albuquerque, V. H. C. (2016). Machine learning algorithms for automatic classification of marmoset vocalizations. PloS one, 11(9), e0163041.
Wijers, M., Trethowan, P., Du Preez, B., Chamaillé-Jammes, S., Loveridge, A. J., Macdonald, D. W., & Markham, A. (2020). Vocal discrimination of African lions and its potential for collar-free tracking. Bioacoustics, 1-19.
Clink, D. J., Crofoot, M. C., & Marshall, A. J. (2019). Application of a semi-automated vocal fingerprinting approach to monitor Bornean gibbon females in an experimentally fragmented landscape in Sabah, Malaysia. Bioacoustics, 28(3), 193-209.
Spillmann, B., van Schaik, C. P., Setia, T. M., & Sadjadi, S. O. (2017). Who shall I say is calling? Validation of a caller recognition procedure in Bornean flanged male orangutan (Pongo pygmaeus wurmbii) long calls. Bioacoustics, 26(2), 109-120.
Hantke, S., Cummins, N., & Schuller, B. (2018, April). What is my dog trying to tell me? The automatic recognition of the context and perceived emotion of dog barks. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 5134-5138). IEEE.
Totakura, V., Janmanchi, M. K., Rajesh, D., & Hussan, M. T. (2020). Prediction of Animal Vocal Emotions Using Convolutional Neural Network. International Journal of Scientific & Technology Research, 9(2), 6007-6011.
Other -
Neethirajan, S., Reimert, I., & Kemp, B. (2021). Measuring Farm Animal Emotions—Sensor-Based Approaches. Sensors, 21(2), 553.
Hong, W., Kennedy, A., Burgos-Artizzu, X. P., Zelikowsky, M., Navonne, S. G., Perona, P., & Anderson, D. J. (2015). Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning. Proceedings of the National Academy of Sciences, 112(38), E5351-E5360.
26 March 2021 7:44pm
Thank you VERY much for that, Carly. I really appreciate it. I have only heard of the bear research project and was not aware of the others. This is very helpful.
FYI: Most studies I am aware of use ML with facial recognition software. I am interested to find out if there are recognition software/research for facial-gesture-voice-speech as this will be more accurate to read animals that have less elastic facial expressions than primates or humans.
The 2021 #Tech4Wildlife Photo Challenge: Community Highlights
25 March 2021 12:00am
Event: tinyML for Good: Conservation & Climate
22 March 2021 12:00am
Allen Coral Atlas - using machine learning to map coral reefs
17 March 2021 6:48pm
Building Experts Into AI
15 March 2021 12:00am
Kaggle Competition: iWildcam 2021 - FGVC8
12 March 2021 12:00am
Funding Opportunity: COVID-19 Science Fund
10 March 2021 12:00am
Resource: WildID
8 March 2021 12:00am
Looking help with camera trapping for Jaguars: Software for species ID and database building
23 February 2021 9:49pm
2 March 2021 3:44pm
Hi Carmina,
I definitely get not wanting to create another copy of your data, I realized this about Camelot just a little late, and we did have to buy a 4 TB external hard drive. The unique names that Camelot assigns to its copies of the data are also not friendly if you want to move things around.
I mentioned that Wild.ID is being more and more integrated with Wildlife Insights, but it can still be used as a standalone software. It has the same format as Camelot, but I think it doesn't create and additional copy (I might be wrong about this, though). You should take a look at this, it might be what you need.
As for detection, Camelot puts together batches of photos, uploads them to Microsoft's servers, and then gets the resulting database back. The model they use, however, is available and you can run it on your own computer. The AI model that it uses is called Megadetector. You used to have to run it from the command line, but recently Petar Gyurov posted this GUI that makes using Megadetector soooo much easier. You just tell the software where your photos are, and let it run. You can decide whether you trust it enough to sort your photos automatically, or check yourself. In most conditions it performs very well, you may have issues when you can only see parts of an animal behind some vegetation. The check would take less time than going through the raw pictures, since it marks boxes where it found things. You still have to identify the pictures after they're sorted. Megadetector will work on any computer, but it performs much faster if it has an Nvidia graphical card. However, setting this up is a little tricky.
Finally, the output from Megadetector can be integrated into the workflow of Timelapse, another software. I've never used this one so I can't really say how well it works.
Integrating everything can be a little intimidating, so feel free to ask if you need guidance for any of these steps.
Best,
Juan
4 March 2021 9:34pm
Hi.
Thanks a lot for your explanation. I decided to try megadetector but I'm dumb with computers and of course I don't have a Nvidia graphical card, can you help me?
If it is better for you to talk directly, you can write to [email protected]
I'm so happy I can finally see the light with so many photos :)
Thanks again
Carmina
4 March 2021 11:06pm
Sure thing, I'll email you directly.
Tech Tutors: How do I strategically allocate drones for conservation?
16 February 2021 1:01pm
26 May 2021 5:09pm
I think programming and machine learning are what I wish I did in uni the most. Particularly Python coding. Most biologists use R/Rstudio but Python is more popular in the tech world. And machine learning is taking over everything, conservation included, so it's definitely a high-demand skill.